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From a data management perspective, table rows of relational databases correspond to documents of document-oriented NoSQL datastores, even though documents model data resources in a less abstract way than rows, as they do not abstract from the intrinsic structure of a resource, and thus they do not require one to flatten the resource content.
The underlying databases correspond to ENSEMBL databases version 70.
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To identify which genes in the databases corresponded to genes listed in the Human Cancer Pathway Finder PCR Array data, we used either the gene symbol or the SwissProt entry name shown in the protein databases.
The highest percentage of common GO-annotated sequences (50% sharing and above) between the two databases corresponded to the categories, Cell Killing, Cellular Component Biogenesis, Macromolecular Complex and Structural Molecule Activity (Table 3).
The entries in the database correspond to cooling units.
Many fiscal measures in our database correspond to this category.
About 7% of sequences in the database correspond to transposable elements embedded within reads otherwise consisting of satellite DNA (Additional file 6: Table S5).
Two other conditions, designated as 'surplus FDP' and 'surplus PYR' in the database, correspond to whether 'surplus' amounts of fructose 1,6-bisphosphate and pyruvate are being produced in the cell.
While the vast majority of sequences in this database correspond to members of the seven satellite families (Table 1), the 720,357 reads also include members of other repetitive DNA families, as well as non-repetitive DNA (as defined by RepeatMasker).
Although some no-hit ESTs are truncated versions of known genes, it is possible that many of the ~2000 no-hit transcripts in the Ambystoma EST database correspond to novel axolotl genes.
The first database corresponds to different concentrations of vapours and vapour mixtures measured with a metal oxide gas-sensor e-nose and the second database corresponds to different Iberian hams measured with a mass-spectrometry based e-nose.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com